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packMBPLSDA (version 0.9.0)

Multi-Block Partial Least Squares Discriminant Analysis

Description

Several functions are provided to implement a MBPLSDA : components search, optimal model components number search, optimal model validity test by permutation tests, observed values evaluation of optimal model parameters and predicted categories, bootstrap values evaluation of optimal model parameters and predicted cross-validated categories. The use of this package is described in Brandolini-Bunlon et al (2019. Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data. Metabolomics, 15(10):134).

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Version

Install

install.packages('packMBPLSDA')

Monthly Downloads

170

Version

0.9.0

License

GPL (>= 2.0)

Maintainer

Marion Brandolini-Bunlon

Last Published

June 20th, 2022

Functions in packMBPLSDA (0.9.0)

medical

medical dataset
disjunctive

Disjunctive table
ginv

generalized inverse of a matrix X
plot_boot_mbplsda

Plot the results of the fonction boot_mbplsda in a pdf file
inertie

inertia of a matrix
packMBPLSDA-package

packMBPLSDA
omics

metabolomic dataset
plot_permut_mbplsda

Plot the results of the fonction permut_mbplsda in a pdf file
plot_cvpred_mbplsda

Plot the results of the fonction cvpred_mbplsda in a pdf file
permut_mbplsda

Permutation testing of a multi-block partial least squares discriminant model
plot_pred_mbplsda

Plot the results of the fonction pred_mbplsda in a pdf file
mbplsda

Multi-block partial least squares discriminant analysis
pred_mbplsda

Observed parameters and predicted categories from a multi-block partial least squares discriminant model
plot_testdim_mbplsda

Plot the results of the fonction testdim_mbplsda in a pdf file
status

physiopathological status data
testdim_mbplsda

Test of number of components by two-fold cross-validation for a multi-block partial least squares discriminant model
cvpred_mbplsda

Cross-validated predicted categories from a multi-block partial least squares discriminant model
nutrition

nutritional dataset
boot_mbplsda

bootstraped simulations for multi-block partial least squares discriminant analysis